• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of amjphAmerican Journal of Public Health Web SiteAmerican Public Health Association Web SiteSubmissionsSubscriptionsAbout Us
Am J Public Health. 1998 September; 88(9): 1377–1380.
PMCID: PMC1509064

Evaluating cluster alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico.

Abstract

OBJECTIVES: This article presents a space-time scan statistic, useful for evaluating space-time cluster alarms, and illustrates the method on a recent brain cancer cluster alarms in Los Alamos, NM. METHODS: The space-time scan statistic accounts for the preselection bias and multiple testing inherent in a cluster alarm. Confounders and time trends can be adjusted for. RESULTS: The observed excess of brain cancer in Los Alamos was not statistically significant. CONCLUSIONS: The space-time scan statistic is useful as a screening tool for evaluating which cluster alarms merit further investigation and which clusters are probably chance occurrences.

Full text

Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (1.3M), or click on a page image below to browse page by page. Links to PubMed are also available for Selected References.

Selected References

These references are in PubMed. This may not be the complete list of references from this article.
  • Wallenstein S. A test for detection of clustering over time. Am J Epidemiol. 1980 Mar;111(3):367–372. [PubMed]
  • Wallenstein S, Weinberg CR, Gould M. Testing for a pulse in seasonal event data. Biometrics. 1989 Sep;45(3):817–830. [PubMed]
  • Weinstock MA. A generalised scan statistic test for the detection of clusters. Int J Epidemiol. 1981 Sep;10(3):289–293. [PubMed]
  • Kulldorff M, Nagarwalla N. Spatial disease clusters: detection and inference. Stat Med. 1995 Apr 30;14(8):799–810. [PubMed]
  • Turnbull BW, Iwano EJ, Burnett WS, Howe HL, Clark LC. Monitoring for clusters of disease: application to leukemia incidence in upstate New York. Am J Epidemiol. 1990 Jul;132(1 Suppl):S136–S143. [PubMed]
  • Chen R, Connelly RR, Mantel N. Analysing post-alarm data in a monitoring system in order to accept or reject the alarm. Stat Med. 1993 Oct;12(19-20):1807–1812. [PubMed]
  • Jacquez GM. A k nearest neighbour test for space-time interaction. Stat Med. 1996 Sep 15;15(17-18):1935–1949. [PubMed]
  • Mantel N. The detection of disease clustering and a generalized regression approach. Cancer Res. 1967 Feb;27(2):209–220. [PubMed]
  • Ranta J, Pitkäniemi J, Karvonen M, Virtala E, Rusanen J, Colpaert A, Naukkarinen A, Tuomilehto J. Detection of overall space-time clustering in a non-uniformly distributed population. DiMe Study Group. Stat Med. 1996 Dec 15;15(23):2561–2572. [PubMed]
  • Raubertas RF. Spatial and temporal analysis of disease occurrence for detection of clustering. Biometrics. 1988 Dec;44(4):1121–1129. [PubMed]
  • Wallenstein S. A test for detection of clustering over time. Am J Epidemiol. 1980 Mar;111(3):367–372. [PubMed]

Articles from American Journal of Public Health are provided here courtesy of American Public Health Association

Formats:

Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...

Links

  • MedGen
    MedGen
    Related information in MedGen
  • PubMed
    PubMed
    PubMed citations for these articles